04354nam a22004455i 4500001001800000003000900018005001700027007001500044008004100059020001800100020001900118024003500137040000900172082001800181100002300199245015100222264003800373300002100411336002600432337002600458338003900484347002400523505067900547520217301226650001503399650002503414650001803439650001303457650003403470650004103504650001803545650004203563650005103605650003203656700002703688710003403715773002003749776003603769856010303805978-0-387-71607-7DE-He21320260521091937.0cr nn 008mamaa100301s2007    xxu|    s    |||| 0|eng d  a9780387716077  a997803877160777 a10.1007/978-0-387-71607-72doi  cCICY04a658.403012231 aZhu, Joe.eeditor.10aModeling Data Irregularities and Structural Complexities in Data Envelopment Analysish[recurso electrónico] /cedited by Joe Zhu, Wade D. Cook. 1aBoston, MA :bSpringer US,c2007.  bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  arecurso en líneabcr2rdacarrier  atext filebPDF2rda0 aData Irregularities And Structural Complexities In Dea -- Rank Order Data In Dea -- Interval And Ordinal Data -- Variables With Negative Values In Dea -- Non-Discretionary Inputs -- DEA with Undesirable Factors -- European Nitrate Pollution Regulation and French Pig Farms' Performance -- PCA-DEA -- Mining Nonparametric Frontiers -- DEA Presented Graphically Using Multi-Dimensional Scaling -- DEA Models For Supply Chain or Multi-Stage Structure -- Network DEA -- Context-Dependent Data Envelopment Analysis and its Use -- Flexible Measures-Classifying Inputs and Outputs -- Integer Dea Models -- Data Envelopment Analysis With Missing Data -- Preparing Your Data for DEA.  aIn a relatively short period of time, Data Envelopment Analysis (DEA) has grown into a powerful quantitative, analytical tool for measuring and evaluating performance. It has been successfully applied to a whole variety of problems in many different contexts worldwide. The analysis of an array of these problems has been resistant to other methodological approaches because of the multiple levels of complexity that must be considered. Several examples of multifaceted problems in which DEA analysis has been successfully used are: (1) maintenance activities of US Air Force bases in geographically dispersed locations, (2) policy force efficiencies in the United Kingdom, (3) branch bank performances in Canada, Cyprus, and other countries and (4) the efficiency of universities in performing their education and research functions in the U.S., England, and France. In addition to localized problems, DEA applications have been extended to performance evaluations of 'larger entities' such as cities, regions, and countries. These extensions have a wider scope than traditional analyses because they include "social" and "quality-of-life" dimensions which require the modeling of qualitative and quantitative data in order to analyze the layers of complexity for an evaluation of performance and to provide solution strategies. DEA is computational at its core and this book by Zhu and Cook deals with the micro aspects of handling and modeling data issues in modeling DEA problems. DEA's use has grown with its capability of dealing with complex "service industry" and the "public service domain" types of problems that require modeling both qualitative and quantitative data. It is a handbook treatment dealing with specific data problems including the following: (1) imprecise data, (2) inaccurate data, (3) missing data, (4) qualitative data, (5) outliers, (6) undesirable outputs, (7) quality data, (8) statistical analysis, (9) software and other data aspects of modeling complex DEA problems. In addition, the book demonstrates how to visualize DEA results when the data is more than 3-dimensional, and how to identify efficiency units quickly and accurately. 0aECONOMICS. 0aOPERATIONS RESEARCH. 0aECONOMETRICS. 0aFINANCE.14aECONOMICS/MANAGEMENT SCIENCE.24aOPERATIONS RESEARCH/DECISION THEORY.24aECONOMETRICS.24aBUSINESS/MANAGEMENT SCIENCE, GENERAL.24aOPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING.24aPUBLIC FINANCE & ECONOMICS.1 aCook, Wade D.eeditor.2 aSpringerLink (Online service)0 tSpringer eBooks08iPrinted edition:z978038771606040uhttp://dx.doi.org/10.1007/978-0-387-71607-7zVer el texto completo en las instalaciones del CICY